Evidence map›Paper›PMID 32902372›Full record

ArticleThe Journal of general virology2020

Predicting the recombination potential of severe acute respiratory syndrome coronavirus 2 and Middle East respiratory syndrome coronavirus.

Arinjay Banerjee, Andrew C Doxey, Benjamin J-M Tremblay, Michael J Mansfield, Sonu Subudhi, Jeremy A Hirota, Matthew S Miller, Andrew G McArthur, Samira Mubareka, Karen Mossman

Open access · hybridAbstract read
In one paragraph

Article in The Journal of general virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

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  11. MeCas12a, a Highly Sensitive and Specific System for COVID-19 Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Arinjay BanerjeeDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
Andrew C DoxeyDepartment of Biology, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Benjamin J-M TremblayDepartment of Biology, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Michael J MansfieldGenomics and Regulatory Systems Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan.
Sonu SubudhiGastrointestinal Unit and Liver Center, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA 02114, USA.
Jeremy A HirotaMichael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
Matthew S MillerMichael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
Andrew G McArthurMichael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
Samira MubarekaSunnybrook Health Sciences Centre, Toronto, Ontario, M4N 3M5, Canada.
Karen MossmanDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
McMaster University · CAUniversity of Waterloo · CAHarvard University · USOkinawa Institute of Science and Technology Graduate University · JPSunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) recently emerged to cause widespread infections in humans. SARS-CoV-2 infections have been reported in the Kingdom of Saudi Arabia, where Middle East respiratory syndrome coronavirus (MERS-CoV) causes seasonal outbreaks with a case fatality rate of ~37 %. Here we show that there exists a theoretical possibility of future recombination events between SARS-CoV-2 and MERS-CoV RNA. Through computational analyses, we have identified homologous genomic regions within the ORF1ab and S genes that could facilitate recombination, and have analysed co-expression patterns of the cellular receptors for SARS-CoV-2 and MERS-CoV, ACE2 and DPP4, respectively, to identify human anatomical sites that could facilitate co-infection. Furthermore, we have investigated the likely susceptibility of various animal species to MERS-CoV and SARS-CoV-2 infection by comparing known virus spike protein-receptor interacting residues. In conclusion, we suggest that a recombination between SARS-CoV-2 and MERS-CoV RNA is possible and urge public health laboratories in high-risk areas to develop diagnostic capability for the detection of recombined coronaviruses in patient samples.

Indexed as

Reassortant VirusesAnimalsBase SequenceCoinfectionGene Expression Regulation, ViralGenome, ViralHost SpecificityHumansMiddle East Respiratory Syndrome CoronavirusModels, MolecularPhylogenyProtein ConformationReceptors, Cell SurfaceRecombination, GeneticSARS-CoV-2Viral ProteinsReceptors, Cell SurfaceViral ProteinscoronavirusemergenceMERS-CoVpredictionsrecombinationSARS-CoV-2

Identifiers

PMID32902372
PMCPMC7819352
OpenAlexW3083929860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.